Rule-Based Systems for Medical Diagnosis

2015 ◽  
pp. 21-44
Author(s):  
V. S. Giridhar Akula
Keyword(s):  
Fuzzy Logic ◽  
Decision Support ◽  
Support System ◽  
Medical Diagnosis ◽  
Intelligent Systems ◽  
Inference Rules ◽  
Rule Based ◽  
Rule Based System ◽  
Fault Monitoring ◽  
Design Scheduling

A rule-based system is a set of “if-then” statements that uses a set of assertions, to which rules on how to act upon those assertions are created. Rule-based expert systems have played an important role in modern intelligent systems and their applications in strategic goal setting, planning, design, scheduling, fault monitoring, diagnosis, and so on. The theory of decision support system is explained in detail. This chapter explains how the concepts of fuzzy logic are used for forward and backward chaining. Patient data is analyzed with the help of inference rules.

Rule-Based Systems for Medical Diagnosis

Fuzzy Systems ◽  
2017 ◽  
pp. 906-933
Author(s):  
V. S. Giridhar Akula
Keyword(s):  
Fuzzy Logic ◽  
Decision Support ◽  
Support System ◽  
Medical Diagnosis ◽  
Intelligent Systems ◽  
Inference Rules ◽  
Rule Based ◽  
Rule Based System ◽  
Fault Monitoring ◽  
Design Scheduling

A rule-based system is a set of “if-then” statements that uses a set of assertions, to which rules on how to act upon those assertions are created. Rule-based expert systems have played an important role in modern intelligent systems and their applications in strategic goal setting, planning, design, scheduling, fault monitoring, diagnosis, and so on. The theory of decision support system is explained in detail. This chapter explains how the concepts of fuzzy logic are used for forward and backward chaining. Patient data is analyzed with the help of inference rules.

scholarly journals Penentuan Prioritas Pengambilan Pesanan Barang Oleh Angkutan Kota dengan Metode Rule-Based System

2018 ◽  
Vol 8 (2) ◽  
pp. 81
Author(s):  
Nur Aini Rakhmawati ◽  
Aditya Septa Budi ◽  
Faizal Johan Altetiko ◽  
Fajar Ramadhani ◽  
Nanda Kurnia Wardati ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Public Transportation ◽  
Storage Capacity ◽  
Urban Transportation ◽  
Urban Transport ◽  
Rule Based ◽  
Rule Based System ◽  
Passenger Transportation

Angkotin is a system that provides an alternative for urban transport to not only be used for passenger transportation, but also as freight service. Therefore, it needs a decision support system for taking order to delivery to the destination according to each criterion from urban transportation. The method used to develop this decision support system is a rule-based system. The result of this research is a decision support system that can help public transportation to find orders that can be taken based on four factors, such as distance, direction, route code, and status of storage capacity. Based on these four factors, the system can provide an order recommendation under the appropriate conditions through the Angkotin application. Based on our experiment, our system performs on 7 seven cases as expected.   

Decision support system for triage management: A hybrid approach using rule-based reasoning and fuzzy logic

2018 ◽  
Vol 114 ◽  
pp. 35-44 ◽  
Author(s):  
Mahsa Dehghani Soufi ◽  
Taha Samad-Soltani ◽  
Samad Shams Vahdati ◽  
Peyman Rezaei-Hachesu
Keyword(s):  
Fuzzy Logic ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Hybrid Approach ◽  
Rule Based

scholarly journals Semi-Automatic Generation of a Fuzzy Inference System in a Reshoring Context

2020 ◽  
Author(s):  
Anders Adlemo ◽  
Per Hilletofth
Keyword(s):  
Fuzzy Logic ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Automatic Generation ◽  
Inference Rules ◽  
Inference System ◽  
Product Delivery

Reshoring can be regarded as offshoring in reverse. While offshoring mainly has been driven by cost aspects, reshoring considers multiple aspects, such as higher quality demands, faster product delivery and product mass-customization. Where to locate manufacturing is usually a purely manual activity that relies on relocation experts, hence, an automated decision-support system would be extremely useful. This paper presents a decision-support system for reshoring decision-making building a fuzzy inference system. The construction and functionality of the fuzzy inference system is briefly outlined and evaluated within a high-cost environment considering six specific reshoring decision criteria, namely cost, quality, time, flexibility, innovation and sustainability. A challenge in fuzzy logic relates to the construction of the so called fuzzy inference rules. In the relocation domain, fuzzy inference rules represent the knowledge and competence of relocation experts and are usually generated manually by the same experts. This paper presents a solution where fuzzy inference rules are automatically generated applying one hundred reshoring scenarios as input data. Another important aspect in fuzzy logic relates to the membership functions. These are mostly manually defined but, in this paper, a semi-automatic approach is presented. The reshoring decision recommendations produced by the semi-automatically configured fuzzy inference system are shown to be as accurate as those of a manually configured fuzzy inference system.

scholarly journals Penentuan Prioritas Pengambilan Pesanan Barang Oleh Angkutan Kota dengan Metode Rule-Based System

2018 ◽  
Vol 8 (2) ◽  
pp. 195
Author(s):  
Nur Aini Rakhmawati ◽  
Aditya Septa Budi ◽  
Faizal Johan Altetiko ◽  
Fajar Ramadhani ◽  
Nanda Kurnia Wardati ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Public Transportation ◽  
Storage Capacity ◽  
Urban Transportation ◽  
Urban Transport ◽  
Rule Based ◽  
Rule Based System ◽  
Passenger Transportation

Angkotin is a system that provides an alternative for urban transport to not only be used for passenger transportation, but also as freight service. Therefore, it needs a decision support system for taking order to delivery to the destination according to each criterion from urban transportation. The method used to develop this decision support system is a rule-based system. The result of this research is a decision support system that can help public transportation to find orders that can be taken based on four factors, such as distance, direction, route code, and status of storage capacity. Based on these four factors, the system can provide an order recommendation under the appropriate conditions through the Angkotin application. Based on our experiment, our system performs on 7 seven cases as expected.   

Pengembangan Aplikasi Pendukung Keputusan Pemilihan Program Studi dengan Metode Fuzzy Logic (Studi Kasus: Universitas Multimedia Nusantara)

2016 ◽  
Vol 7 (1) ◽  
pp. 12-18
Author(s):  
Joko Haryanto ◽  
Seng Hansun
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Application ◽  
Prospective Students ◽  
Fuzzy Logic Method ◽  
Index Terms ◽  
Selection Of

This paper describes the development of decision support system application to assist students who want to enter college so that no one choose the majors incorrectly. This application uses fuzzy logic method because fuzzy logic is very flexible in data which are vague and can be represented as a linguistic variable. The purpose of this application is to assist students to choose available majors at University Multimedia Nusantara which are appropriate with his/her capabilities. This application accepts five kinds of input values i.e. Mathematics, Indonesian, English, Physics, and TIK. Received input will be processed by the calculation of the system for decision-making and the application will generate output that shows how great a match for each majors. With this application, prospective students can find out where the majors that match his/her capabilities. This application has ninety nine percentage of match result accuracy. Index Terms—fuzzy logic, decision support system, UMN, selection of major

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